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http://dx.doi.org/10.14578/jkfs.2022.111.4.502

Determining the Aboveground Allometric Equations of Major Street Tree Species in Wonju, South Korea using the Nondestructive Stem Analysis Method  

Seungmin, Lee (Department of Forest Science, Sangji University)
Seonghun, Lee (Department of Forest Science, Sangji University)
Yewon, Han (Department of Forest Science, Sangji University)
Jeongmin, Lee (Department of Environmental Science and Ecological Engineering, Korea University)
Yowhan, Son (Department of Environmental Science and Ecological Engineering, Korea University)
Tae Kyung, Yoon (Department of Forest Science, Sangji University)
Publication Information
Journal of Korean Society of Forest Science / v.111, no.4, 2022 , pp. 502-510 More about this Journal
Abstract
In the national greenhouse gas inventory, a settlements category has never been included owing to the lack of activity data. Therefore, this study was conducted to obtain basic data for estimating biomass carbon storage in settlements. Nondestructive stem analysis with a laser dendrometer was performed on four major street tree species (Metasequoia glyptostroboides, Prunus armeniaca, Ginkgo biloba, and Acer buergerianum) in Wonju city, South Korea. Allometric equations of the aboveground volume were developed using five models, and allometric equations of crown area were developed with diameter at breast height (DBH) as an independent variable. The best performing allometric equations were aD2+bD+c for M.glyptostroboides and G. biloba, aD+bD2 for P. armeniaca, and a+bD2 for A. buergerianum. Regarding the allometric equations of crown area with DBH as an independent variable, G. biloba and A. buergerianum exhibited low coefficients of determination (R2), i.e., < 0.364, whereas M. glyptostroboides and P. armeniaca exhibited satisfactory R2 values, i.e., > 0.767, probably due to different street tree management practices. The allometricequations in this study will support the carbon inventory of settlements and urban tree monitoring in management practices.
Keywords
carbon storage; crown area; laser dendrometer; national greenhouse gas inventory; non-destructive stem analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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